prikaz prve stranice dokumenta Skriveni Markovljevi modeli s primjenama u bionformatici
Access restricted to students and staff of home institution
master's thesis
Skriveni Markovljevi modeli s primjenama u bionformatici
2022. urn:nbn:hr:166:230909
Bočina, Tea
University of Split
Faculty of Science
Department of Mathematics

Cite this document

Bočina, T. (2022). Skriveni Markovljevi modeli s primjenama u bionformatici (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:230909

Bočina, Tea. "Skriveni Markovljevi modeli s primjenama u bionformatici." Master's thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:230909

Bočina, Tea. "Skriveni Markovljevi modeli s primjenama u bionformatici." Master's thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:230909

Bočina, T. (2022). 'Skriveni Markovljevi modeli s primjenama u bionformatici', Master's thesis, University of Split, Faculty of Science, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:230909

Bočina T. Skriveni Markovljevi modeli s primjenama u bionformatici [Master's thesis]. Split: University of Split, Faculty of Science; 2022 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:166:230909

T. Bočina, "Skriveni Markovljevi modeli s primjenama u bionformatici", Master's thesis, University of Split, Faculty of Science, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:166:230909

Please login to the repository to save this object to your list.
Metadata
TitleSkriveni Markovljevi modeli s primjenama u bionformatici
Title (english)Hidden Markov models with applications in bioinformatics
AuthorTea Bočina
MentorIvo Ugrina (mentor)
Committee memberIvo Ugrina (predsjednik povjerenstva)
Committee memberMilica Klaričić Bakula (član povjerenstva)
Committee memberJurica Perić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Mathematics)
Split
Defense date and country2022-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Skriveni Markovljev model je vjerojatnosni model u kojem se sustav koji se modelira smatra Markovljevim procesom sa skrivenim ili neopaženim stanjima. Ta skrivena stanja emitiraju simbole koje možemo promatrati te nam je cilj proučavajući te emitirane simbole i anlizirajući vezu između skrivenih stanja i emitiranih simbola predviđati ponašanja našeg modela u neposrednoj budućnosti. Stoga u uvodnom dijelu ovog rada navodimo osnovne definicije iz područja vjerojatnosti te definiciju i svojstva Markovljevih lanaca. Pomoću toga možemo definirati skrivene Markovljeve modele. Definiramo i osnovne probleme vezane uz ovaj model kao što su problemi dekodiranja, procjene i učenja parametara te za svaki od njih opisujemo algoritamsko rješenje. U konačnici, opisujemo primjene skrivenih Markovljevih modela na području bioinformatike vezane uz poravnanje sekvenci te uvodimo pojam profilnog skrivenog Markovljevog modela.
Abstract (english)
A hidden Markov model is a probabilistic model in which the system being modeled is considered a Markov process with hidden or unobserved states. These hidden states emit symbols that we can observe, and by studying these emitted symbols and analyzing the connection between hidden states and emitted symbols, our goal is to predict the behavior of our model in the immediate future. Therefore, in the introductory part of this thesis, we state basic definitions from the probability theory and the definition and properties of Markov chains. With this we can define hidden Markov models. We also define the basic problems related to this model, such as the problems of decoding, estimation of parameters, and we describe the algorithmic solution for each of them. Finally, we describe applications of hidden Markov models in the field of bioinformatics related to sequence alignment and introduce the concept of a profile hidden Markov model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:230909
Study programmeTitle: Mathematics; specializations in: major in pure mathematics, major in computing, major in teaching, major in statistics and computing
Course: major in statistics and computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-02-17 10:08:02